Thomas Pliemon

ORCID: 0000-0003-1426-8190
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About
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Research Areas
  • Tree-ring climate responses
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Plant Water Relations and Carbon Dynamics
  • Fermentation and Sensory Analysis
  • Horticultural and Viticultural Research
  • Historical Studies and Socio-cultural Analysis
  • Wine Industry and Tourism
  • Science and Climate Studies
  • Complex Systems and Time Series Analysis
  • Atmospheric chemistry and aerosols
  • Lichen and fungal ecology
  • Historical Geography and Cartography
  • Hydrology and Drought Analysis

University of Graz
2021-2024

Czech Academy of Sciences, Institute of Physics
2022

The relatively short observational record limits our ability to understand the long-term variability of key climate factors like temperature and hydroclimate. Climate models paleoclimate proxies appear have variabilities that diverge from each other at local long time scales. But it is unclear whether these divergences also apply hydroclimate fundamentally different than variability.Here we evaluate over Common Era using a model (the Community Earth System Model-Last Millennium Ensemble,...

10.5194/egusphere-egu25-6713 preprint EN 2025-03-14

Data assimilation techniques, such as the Kalman Filter, have enabled development of complete climate field reconstructions over last millennium, commonly referred to paleoclimate reanalysis. These techniques effectively integrate data, facilitating understanding and attribution past events. The resulting spatio-temporal fields are invaluable for studying teleconnections exploring dynamical links between variables locations in past. However, when observation network is sparse, or proxies...

10.5194/egusphere-egu25-18506 preprint EN 2025-03-15

Abstract. We have digitized three meteorological variables (temperature, direction of the movement clouds, and cloud cover) from copies Louis Morin's original measurements (source: Institute History/Oeschger Centre for Climate Change Research, University Bern; Institut de France) subjected them to quality analysis make these data available scientific community. Our cover period 1665–1713 (temperature beginning in 1676). compare early instrumental temperature dataset with statistical methods...

10.5194/cp-18-1685-2022 article EN cc-by Climate of the past 2022-07-21

Abstract. This study investigates the validity of wine must quality as a summer (JJA) temperature proxy between 1420 and 2019 based on expert ratings measurements from Germany, Luxembourg, Eastern France Swiss Plateau. The evidence was reviewed according to best practice historical climatology. Expert tended agree with Oechsle density that gradually replaced them 1840s. A statistical model calibrated predict climate data explains 75 % variance, underlining potential value proxy. Premium...

10.5194/cp-2023-66 preprint EN cc-by 2023-09-15

Abstract. This study investigates the validity of wine must quality as an April-to-August temperature proxy between 1420 and 2019 based on expert ratings measurements from Germany, Luxembourg, eastern France, Swiss Plateau. is highly relevant uncertainties remain past climate variations during this period. The evidence was reviewed according to best practice historical climatology. Expert tended agree with Oechsle density that gradually replaced them 1840s. A statistical model calibrated...

10.5194/cp-20-1387-2024 article EN cc-by Climate of the past 2024-06-27

Abstract. This paper presents a precipitation reconstruction that is based on the continuous observations by Louis Morin in Paris from 1665–1713. usually recorded intensity and duration, when it snowed/rained, three times each day (sometimes up to six times). The consistency of his can be calculated other measurements (e.g. temperature, cloud cover), where at least one entry different for 98.7 % all days noted. To 5 convert these common units, we calibrated them with multiplicative...

10.5194/egusphere-2022-1445 preprint EN cc-by 2023-01-16

Abstract. We have digitized three meteorological variables (temperature, direction of the movement clouds, and cloud cover) from copies Louis Morin’s original measurements (Source: Institute History / Oeschger Centre for Climate Change Research, University Bern) subjected them to quality analysis make these data available scientific community. Our cover period 1665–1709 (temperature beginning in 1676). compare early instrumental temperature dataset with statistical methods proxy validate...

10.5194/cp-2021-179 preprint EN cc-by 2022-01-07

This paper discusses what is, to our knowledge, the oldest subdaily measurement series of humidity taken over several years. Louis Morin performed measurements in Paris, three times a day, between May 1701 and June 1711. A correlation analysis Morin’s with various meteorological variables yields results comparable those parallel relative E-OBS data: Spearman coefficient daily minimum temperature is −0.43 (p < 0.01); mean temperature, it −0.54 maximum −0.59 diurnal range, −0.65 total cloud...

10.3390/cli11070156 article EN Climate 2023-07-23

The Austrian National Library has digitized several volumes of the newspaper "Grätzer Zeitung", which contains daily measurements (morning, noon and evening) temperature, pressure, short simple weather descriptions, wind direction, strength, recorded in historic center Graz by Mr. Rospini (and later his son grandsons). Other are available on microfilm or have been found archives. measurement series family started as early 1781, continuously published Zeitung" from 1795 onwards....

10.5194/egusphere-egu23-5734 preprint EN 2023-02-22

Abstract. This paper presents a precipitation reconstruction that is based on the continuous observations by Louis Morin in Paris from 1665–1713. usually recorded intensity and duration three times each day (sometimes up to six times) when it snowed or rained. The continuity of his can be calculated considering all measurements (e.g., temperature, cloud cover), where 98.7 % days between February 1665 July 1713 at least one entry per noted. To convert these common units, we calibrated them...

10.5194/cp-19-2237-2023 article EN cc-by Climate of the past 2023-11-10

<p>Based on copies of the original data (source: Oeschger Center for Climate Change Research) we perform climate reconstructions Paris. The focus lies following meteorological variables: temperature, cloudiness, moving direction clouds and precipitation. We assess early instrumental temperature dataset with state art statistical methods to get further knowledge inhomogeneities. There are already several studies showing monthly yearly means but a detailed analysis based...

10.5194/egusphere-egu2020-6740 article EN 2020-03-09
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